Job Opportunities in Costa Rica


September 13, 2024

Equifax

San José

OTHER


Big Data Engineer - Entry Level

Equifax is seeking a Big Data Engineer to become part of the Corporate Services Alliance implementing and supporting edge analytical solutions on a Google Cloud Ecosystem. You will find a great place to work if you are passionate about designing data ingestion jobs, learning new technologies, and proposing and adopting new technologies.


What you’ll do
  • Ability to design requirements on small systems or modules of medium systems (large scale) environment and technical documentation.
  • Apply basic principles of software engineering and can follow instructions. Provide meaningful feedback on the release process, code review, and design review.
  • Easily absorbs and applies new information. Displays a cooperative attitude and shares knowledge.
  • Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.). Work across teams to integrate our systems with existing corporate product platforms
  • Participate in technology roadmap and architecture discussions to turn business requirements and vision into reality.
  • Participate in a tight-knit engineering team employing agile software development practices. Leverage automation within scope of effort
What experience you need
  • Bachelor's degree in Computer Science, Systems Engineering or equivalent experience
  • < 1 Experience/Knowledge in Data Engineering using programming languages such as Python, Java or Scala and SQL (is a must)
  • < 1 Experience/Knowledge in Data Pipelines
  • < 1 Experience/Knowledge with ETL (Extract, Transform, and Load) procedures
  • < 1 Experience/Knowledge in Big Data Technologies such as Hadoop, Spark, Beam, Hive, Airflow or equivalent
  • < 1 Experience/Knowledge in Cloud Technologies such as GCP or AWS
What could set you apart
  • Data Engineering using GCP Technologies (Big Query, Data Proc, Dataflow, Composer, etc)
  • Experience using encryption mechanism for sensitive data in transit and at rest
  • Working with multiple data sources and structures such as API, Database, JSON, CSV, XML, Text files, etc
  • Relational databases (e.g. Oracle, Postgre SQL, SQL Server, My SQL)
  • Source code control management systems (e.g. SVN/Git, Github)
  • Agile environments (e.g. Scrum, XP)
  • Atlassian tooling (e.g. JIRA, Confluence, and Github)
  • Automated Testing: JUnit, Selenium, Load Runner, Soap UI
  • Cloud Certification Strongly Preferred
#LI-DU1
#LI-Hybrid

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